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GeoReVi: A knowledge discovery and data management tool for subsurface characterization

Linsel, A. ; Bär, K. ; Haas, J. ; Hornung, Jens ; Greb, M. ; Hinderer, Matthias (2020)
GeoReVi: A knowledge discovery and data management tool for subsurface characterization.
In: SoftwareX, 12
doi: 10.1016/j.softx.2020.100597
Artikel, Bibliographie

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Kurzbeschreibung (Abstract)

Subsurface characterization is an interdisciplinary and multidimensional problem requiring contribution from numerous geoscientific and technical domains. In order to optimize and automate the process of subsurface characterization and structural modeling we developed a modular, open-source software system called GeoReVi (Geological Reservoir Virtualization). The tool implements the knowledge discovery in databases (KDD) process and utilizes techniques from visual analytics for interactive, interdisciplinary, database-bound knowledge discovery and communication. Multidimensional data sets – produced in subsurface and outcrop analog studies – can be imported, shared, transformed, projected, analyzed, modeled, grouped and visualized interactively in a custom-made graphical user interface. The underlying data model facilitates domain experts to efficiently work in multi-user environments. The knowledge discovery potential is illustrated with an exemplary case study.

Typ des Eintrags: Artikel
Erschienen: 2020
Autor(en): Linsel, A. ; Bär, K. ; Haas, J. ; Hornung, Jens ; Greb, M. ; Hinderer, Matthias
Art des Eintrags: Bibliographie
Titel: GeoReVi: A knowledge discovery and data management tool for subsurface characterization
Sprache: Englisch
Publikationsjahr: 22 September 2020
Verlag: Elsevier
Titel der Zeitschrift, Zeitung oder Schriftenreihe: SoftwareX
Jahrgang/Volume einer Zeitschrift: 12
DOI: 10.1016/j.softx.2020.100597
URL / URN: http://www.sciencedirect.com/science/article/pii/S2352711020...
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Kurzbeschreibung (Abstract):

Subsurface characterization is an interdisciplinary and multidimensional problem requiring contribution from numerous geoscientific and technical domains. In order to optimize and automate the process of subsurface characterization and structural modeling we developed a modular, open-source software system called GeoReVi (Geological Reservoir Virtualization). The tool implements the knowledge discovery in databases (KDD) process and utilizes techniques from visual analytics for interactive, interdisciplinary, database-bound knowledge discovery and communication. Multidimensional data sets – produced in subsurface and outcrop analog studies – can be imported, shared, transformed, projected, analyzed, modeled, grouped and visualized interactively in a custom-made graphical user interface. The underlying data model facilitates domain experts to efficiently work in multi-user environments. The knowledge discovery potential is illustrated with an exemplary case study.

Freie Schlagworte: Visual analytics, Subsurface characterization, Spatial data mining, Knowledge discovery in databases
Fachbereich(e)/-gebiet(e): 11 Fachbereich Material- und Geowissenschaften
11 Fachbereich Material- und Geowissenschaften > Geowissenschaften
11 Fachbereich Material- und Geowissenschaften > Geowissenschaften > Fachgebiet Angewandte Geothermie
11 Fachbereich Material- und Geowissenschaften > Geowissenschaften > Fachgebiet Angewandte Sedimentgeologie
Hinterlegungsdatum: 12 Okt 2020 05:42
Letzte Änderung: 03 Jul 2024 02:47
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